{"product_id":"data-driven-modeling-using-matlab-in-water-resources","title":"Data-Driven Modeling Using MATLAB in Water Resources","description":"\u003cp\u003eIn this review of Data-Driven Modeling: Using MATLAB in Water Resources and Environmental Engineering, the book is judged as a practical, methodical guide for engineers and researchers who need to apply data-driven approaches to hydrology and environmental problems. The single biggest reason to buy is its clear, unified framework that links statistical methods to real water resources tasks, making it a useful reference when building forecasting or monitoring models with MATLAB. It reads like a working handbook rather than a purely theoretical text, which will appeal to practitioners who want applied methods they can adapt.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnified framework:\u003c\/strong\u003e Presents a consistent approach to data-driven modeling so readers can move from concept to implementation without losing sight of assumptions and limitations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMATLAB focus:\u003c\/strong\u003e Uses MATLAB as the implementation platform to make the transition from theory to practical model building more direct for users familiar with that environment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRange of techniques:\u003c\/strong\u003e Covers statistical-based models including nonparametric and logistic regression plus time series analysis, giving tools to handle diverse modeling problems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplication breadth:\u003c\/strong\u003e Applies methods to hydrological forecasting, flood analysis, water quality monitoring and regionalizing climatic data, so examples map to common engineering tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProblem-oriented:\u003c\/strong\u003e Emphasizes how data-driven models address general function approximation and environmental engineering challenges, helping readers select appropriate methods.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003ePracticing water resources and environmental engineers, hydrologists, and graduate students who use MATLAB and need a focused resource on data-driven approaches will gain the most from this book. Its applied orientation and coverage of statistical and time series techniques make it especially useful for people building forecasting, flood analysis, or monitoring workflows.\u003c\/p\u003e\n\u003cp\u003eThose seeking exhaustive theoretical proofs in statistics or a beginner's introduction to MATLAB programming should look elsewhere; the book assumes some familiarity with numerical tools and statistical concepts and is best used by readers ready to apply methods to real data.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProvides a coherent, practical framework that links statistical models to water resources problems.\u003c\/li\u003e\n\u003cli\u003eDirect MATLAB orientation helps practitioners implement methods without translating from another language.\u003c\/li\u003e\n\u003cli\u003eCovers a broad set of techniques including regression, nonparametric methods and time series useful across hydrology tasks.\u003c\/li\u003e\n\u003cli\u003eIncludes applied examples for forecasting, flood analysis and water quality that ground the methods in realistic problems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot a beginner's introduction to MATLAB or to advanced theoretical statistics, so newcomers may need supplemental material.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eData-Driven Modeling: Using MATLAB in Water Resources and Environmental Engineering\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eWater Science and Technology Library, 67\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor \/ Brand\u003c\/td\u003e\n\u003ctd\u003eShahab Araghinejad\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrimary focus\u003c\/td\u003e\n\u003ctd\u003eData-driven models and MATLAB applications in water resources\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTopics covered\u003c\/td\u003e\n\u003ctd\u003eStatistical analysis, nonparametric \u0026amp; logistic regression, time series modeling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplications\u003c\/td\u003e\n\u003ctd\u003eHydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eData-Driven Modeling is a pragmatic, well-structured reference for engineers and researchers who need to apply statistical and time series methods to water resources problems using MATLAB. It offers good value for practitioners who want applied guidance and a unified approach, though readers new to MATLAB or fundamental statistics should pair it with introductory resources.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book show MATLAB code examples?\u003c\/strong\u003e\u003cbr\u003eYes, the book is oriented around MATLAB and is intended to help readers implement data-driven methods in that environment.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat kinds of problems are demonstrated?\u003c\/strong\u003e\u003cbr\u003eExamples and applications include hydrological forecasting, flood analysis, water quality monitoring and regionalizing climatic data.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs it suitable for beginners in statistics?\u003c\/strong\u003e\u003cbr\u003eIt assumes some prior knowledge of statistical concepts; beginners should supplement it with an introductory statistics or MATLAB tutorial.\u003c\/p\u003e","brand":"Shahab Araghinejad","offers":[{"title":"Default Title","offer_id":48247760552155,"sku":"9402405895","price":64.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61sZugsh64L._SL1254.jpg?v=1776267311","url":"https:\/\/gearmusthave.com\/products\/data-driven-modeling-using-matlab-in-water-resources","provider":"GearMustHave","version":"1.0","type":"link"}